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Study on Statistical Outlier Detection and Labelling 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 788-811
作者:  Paweł D. Domański
Adobe PDF(3534Kb)  |  收藏  |  浏览/下载:190/77  |  提交时间:2021/02/22
Outlier detection  control loop quality  statistical analysis  robust estimation  heavy tails.  
A Survey on Fault Diagnosis and Fault Tolerant Methodologies for Permanent Magnet Synchronous Machines 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 763-787
作者:  Erphan A. Bhuiyan;  Md. Maeenul Azad Akhand;  Sajal K. Das;  Md. F. Ali;  Z. Tasneem;  Md. R. Islam;  D. K. Saha;  Faisal R. Badal;  Md. H. Ahamed;  S. I. Moyeen
Adobe PDF(2346Kb)  |  收藏  |  浏览/下载:228/86  |  提交时间:2021/02/22
Permanent magnet synchronous machine (PMSM)  fault diagnosis  fault tolerant control system (FTCS)  fault detection  stability.  
Electronic Nose and Its Applications: A Survey 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 179-209
作者:  Diclehan Karakaya;  Oguzhan Ulucan;  Mehmet Turkan
浏览  |  Adobe PDF(1365Kb)  |  收藏  |  浏览/下载:203/40  |  提交时间:2021/02/22
Artificial intelligence  machine learning  pattern recognition  electronic nose (EN)  sensors technology.  
Novel Non-monotonic Lyapunov-Krasovskii Based Stability Analysis and Stabilization of Discrete State-delay System 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 713-732
作者:  Younes Solgi;  Alireza Fatehi;  Ala Shariati
浏览  |  Adobe PDF(1602Kb)  |  收藏  |  浏览/下载:223/108  |  提交时间:2021/02/22
Lyapunov-Krasovskii functional  discrete state-delay systems  non-monotonic Lyapunov function  robust stability  stabilization.  
Ground-level Ozone Prediction Using Machine Learning Techniques: A Case Study in Amman, Jordan 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 667-677
作者:  Maryam Aljanabi;  Mohammad Shkoukani;  Mohammad Hijjawi
浏览  |  Adobe PDF(1159Kb)  |  收藏  |  浏览/下载:94/29  |  提交时间:2021/02/22
Ozone prediction  machine learning  neural networks  supervised learning  regression.